جستجوی استاد راهنمای دانشگاهی

• Edge Computing
• Fog Computing
• Distributed Systems
• +۵ مورد دیگر

Umakishore Ramachandran is a Professor in the School of Computer Science within the College of Computing at Georgia Institute of Technology. His research spans edge computing, distributed systems, and real-time video analytics, with significant contributions to fog computing infrastructure, mobile systems, and sensor networks. Over a prolific 38-year career, he has authored 142 publications with major contributions in 2022-2025. His research interests focus on bridging the gap between cloud and edge computing, with pioneering work in video analytics systems like EVA and MicroEdge. He investigates resource optimization for latency-sensitive applications, developing novel approaches for load shedding, data management, and container runtime efficiency at the network edge. His work addresses fundamental challenges in distributed camera networks, autonomous vehicle systems, and real-time stream processing. Ramachandran's recent publications reveal a strong emphasis on practical edge computing solutions, with 75% of his 2021-2025 work focusing on video analytics and infrastructure optimization. His research shows increasing collaboration with industry partners while maintaining academic rigor, with publications appearing in top venues like SIGMOD, Middleware, and DEBS. The work consistently addresses real-world constraints of resource-constrained edge environments. Ramachandran has mentored numerous researchers who have become principal investigators on edge computing projects, with notable collaborators including Harshit Gupta, Enrique Saurez, and Zhuangdi Xu appearing as first authors on multiple papers. His work has received significant grant support for projects related to mobile fog computing and distributed video analytics. He leads research in the Edge Computing Laboratory at Georgia Tech, focusing on the development of practical frameworks for real-world deployment of edge infrastructure. Current projects include eCAV for connected autonomous vehicles and MicroEdge for multi-tenant camera processing systems.

• Wireless Networks
• 5G/6G Technology
• Resource Management
• +۳ مورد دیگر

Serkut Ayvasik is a Researcher at the Chair of Communication Networks at Technical University Munich (TUM). He joined TUM in March 2019 as a research and teaching associate, following his M.Sc. in Communications Engineering (2019) and B.Sc. in Electrical and Electronics Engineering (2016) from Middle East Technical University. His research focuses on: Wireless Network Resource Management for heterogeneous latency-critical 5G applications Channel State Information Prediction using depth images Network Slicing and Quality of Service optimization Machine Learning for proactive network configuration Telemedicine Applications in cross-border communication Key article trends include 5G/6G technology , IoT sustainability , digital twins , and haptic feedback systems . He contributes to IEEE and ACM journals, with recent work on Digiot (2025) and OCTOPUS (2024). Collaborations include researchers like Wolfgang Kellerer (Chair), Edwin Babaians , Alba Jano , and Fidan Mehmeti . His work spans projects such as 6G Future Lab Bavaria , DFG GGI QCDE , and ERC FlexNets .

Nils Ole Tippenhauerمشاهده پروفایل

استاد

• Cyber-Physical System Security
• Industrial Control Systems Security
• Physical-Layer Security
• +۷ مورد دیگر

Nils Ole Tippenhauer is a faculty member at the CISPA Helmholtz Center for Information Security , leading the SCy-Phy research group . His academic journey includes an Assistant Professorship at the Singapore University of Technology and Design (SUTD) (2014–2018), a PhD in Computer Science from ETH Zurich (2012), and a Diploma in Computer Engineering from Hamburg University of Technology (2007). He also holds an exchange study year at the University of Waterloo (2004–2005) supported by a DAAD scholarship. Research Interests focus on practical systems security , particularly Security of Cyber-Physical Systems Industrial Control Systems (ICS) and Industrial IoT (IIoT) Physical-Layer Security and Wireless Security Privacy-Preserving Technologies (e.g., DP3T project) Embedded Systems Security Threat Detection & Defenses His work integrates both theoretical and applied approaches, addressing vulnerabilities in critical infrastructures like water systems and power grids. Recent Publications highlight trends in Anomaly detection evasion in industrial networks Microarchitectural side-channel defenses Localization techniques in cellular networks Security analysis of ICS protocols Data-driven vulnerability assessments for robotics Cyber-physical simulation for infrastructure security Scientific Awards include Best paper at DIMVA'23 Distinguished Paper at ACSAC 2022 Best paper at CPSIOTSEC 2022 Best paper at CPSS 2017 K-H Ditze Award for diploma thesis (2007) SG Mark Institution award (2016) Runner-Up at smart energy hackathon (2013) Advising and Grants feature PhD defenses of Daniele Antonioli and Hamid Reza Ghaeini (2022), co-organizing conferences like WiSec and CPSS , and leading projects such as the National Science Experiment (NSE) with 50,000 mobile sensors in Singapore. He also contributed to the DP3T project for privacy-preserving contact tracing. Labs and Teams include the SCy-Phy research group at CISPA and the development of testbeds like SWaT (Secure Water Treatment), WADI (Water Distribution), and EPIC (Electric Power and Industrial Control) at SUTD. These platforms enable hands-on security research in realistic industrial environments.

• Network Security
• Privacy-Preserving Technologies
• Machine Learning for Networking
• +۵ مورد دیگر

Ke Xu is a Professor in the Department of Computer Science at Tsinghua University's School of Information Science and Technology. With extensive research contributions in network security, privacy-preserving technologies, and machine learning applications for networking, Professor Xu has established himself as a leading researcher in computer science. Professor Xu's research interests span network security, privacy-preserving technologies, machine learning for networking, federated learning, internet protocols, encrypted traffic analysis, blockchain applications, and AI in networking. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges and network optimization problems. He has developed novel frameworks for secure network operations, privacy-preserving data sharing, and efficient AI deployment in distributed environments. Professor Xu's publication record shows a clear trend toward integrating artificial intelligence with traditional networking challenges. His recent work explores federated learning security, encrypted traffic analysis using deep learning, and novel approaches to network security that leverage machine learning techniques. The interdisciplinary nature of his research spans computer networking, security, privacy, and artificial intelligence. Professor Xu has received recognition for his contributions to network security and privacy-preserving technologies through publications in top-tier venues including IEEE journals, ACM conferences, and security symposia. His work has appeared in IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, and security conferences like CCS and NDSS. Professor Xu actively collaborates with researchers across institutions, supervising students and junior researchers in exploring cutting-edge problems in network security and AI. His research has been supported by significant grants focusing on network security, privacy, and intelligent networking infrastructure. He leads projects that address fundamental challenges in secure communication, privacy-preserving data analysis, and intelligent network management. Professor Xu is involved with research laboratories focusing on network security and intelligent systems at Tsinghua University. His team works on developing practical security solutions, privacy frameworks, and AI-enhanced networking protocols that address real-world challenges in today's increasingly connected world.

Yanjun Renمشاهده پروفایل

استاد

• Food Chains
• Consumer Behavior
• Applied Econometrics
• +۱۳ مورد دیگر

Prof. Dr. Yanjun Ren is a Professor at the College of Economics and Management, Northwest A&F University (NWAFU), China, and has been an IAMO Visiting Research Fellow since May 2024. Prior to his IAMO role, he conducted research at Christian-Albrechts-Universität in Kiel, Germany, from 2012 to 2019. PhD in Agricultural Economics focusing on Food Consumption, Income Inequality, and Health-related Issues in China Former Research Assistant/Associate at Kiel University’s Chair of Agricultural Market Analysis (2012–2019) Dr. Ren’s research spans food chains, consumer behavior, and applied econometrics. His work explores how socioeconomic factors, digital transformation, and policy interventions shape food consumption, nutritional outcomes, and environmental sustainability in China and Central Asia. Key themes include food waste reduction, carbon labeling, internet use in rural economies, and intergenerational health behaviors. His 15 most recent articles (2023–2025) emphasize digital agriculture, sustainable consumption, and health economics. Topics include carbon-labeled products, television/media’s role in nutrition, contract farming sustainability, and the socioeconomic determinants of dietary choices. His methodology integrates econometric modeling, eye-tracking experiments, and spatiotemporal analysis. Email: ren@iamo.de

Eric Saxمشاهده پروفایل

استاد

• Automotive Systems
• Autonomous Driving
• Cybersecurity
• +۷ مورد دیگر

Prof. Dr.-Ing. Eric Sax is a Professor of Electronic Systems Engineering and Management at the Karlsruhe Institute of Technology (KIT), serving as Dean of the Department of Electrical Engineering and Information Technology (ETIT). He leads the Institut für Technik der Informationsverarbeitung (ITIV) and directs the Forschungszentrum Informatik ESS division . As Program Director of the Electronic Systems Engineering & Management (ESEM) master's program at the HECTOR School, he focuses on integrating academic and professional education. His research spans automotive systems engineering , self-learning functions , cybersecurity , and data-driven validation . Key themes include over-the-air updates, scenario-based testing, and the synergy between machine learning and automotive systems. His work addresses challenges in autonomous driving validation, software-defined mobility, and cyber-physical system security. Prof. Sax's contributions include frameworks for automotive software partitioning, cloud-enabled vehicle architectures, and methodologies for quantifying data quality impacts on perception systems. He actively collaborates with industry partners to bridge academic research with industrial application. His recent projects include OptiCAM (cloud/edge function offloading), Drive4C (autonomous driving benchmarking), and UNCOVER (data-driven security monitoring). He holds leadership roles in both KIT and the HECTOR School's technology business programs.

• Robust Machine Learning
• Machine Learning for Graphs and Networks
• Machine Learning for Temporal and Dynamical Data
• +۳ مورد دیگر

Tom Wollschläger is a researcher at the Department of Computer Science (I26) within the TUM School of Computation, Information and Technology at the Technical University of Munich . His work focuses on robustness and uncertainty in machine learning, with specific interests in graph/network analysis, temporal data modeling, and quantum computing applications. Education: M.Sc. Mathematics in Data Science, Technical University of Munich B.Sc. Computer Science (minor mathematics), Technical University of Munich B.Sc. Engineering Science, Technical University of Munich Research Background: 2020: Master's thesis on Certifiable Robustness for Arbitrary Classifiers using Graph Diffusion 2018: Bachelor's thesis in computer science on Forecasting Passenger Demand for Mobility Services using Machine Learning 2017: Bachelor's thesis in engineering science on The Influence of Light Intensity on Organic Solar Cells

Jia Chenمشاهده پروفایل

استاد

• Urban greenhouse gas monitoring
• Atmospheric modeling
• Sensor development
• +۷ مورد دیگر

Professor Jia Chen is a Professor of Environmental Sensing and Modeling at the Technical University of Munich (TUM), holding positions in both the TUM School of Computation, Information and Technology (CIT) and the Department of Electrical and Computer Engineering, as well as the Department of Civil, Geo and Environmental Engineering. She also maintains an affiliation as an Associate at Harvard University. Her pioneering work focuses on developing novel optical sensors and atmospheric models to monitor and quantify greenhouse gas emissions in urban environments. Professor Chen's most significant contribution is the development of the differential column measurement method and the establishment of MUCCnet, the world's first permanent urban column sensor network. This groundbreaking work enables continuous, city-wide monitoring of greenhouse gases. Her research team has made notable discoveries, including quantifying methane emissions from events like the Munich Oktoberfest and identifying previously underestimated urban emission sources. Her research spans atmospheric science, environmental engineering, and climate change mitigation, with particular emphasis on: Urban greenhouse gas monitoring systems Advanced atmospheric modeling techniques Sensor network development for environmental monitoring Integration of machine learning with emission quantification Urban air quality assessment methodologies Professor Chen has received numerous prestigious awards including: Timothy Oke Award (2024) for original research in urban climatology ERC Consolidator Grant (2022) Arnold Sommerfeld-Award (2021) Germany's "Top 40 under 40" recognition by Capital Magazine (2020) Membership in the Global Young Academy (2021) She leads an extensive research group with numerous PhD students and postdoctoral researchers, and her work is supported by major funding from ERC, EU Horizon 2020, United Nations Environment Programme, NASA, ESA, German Federal Ministry of Education and Research, and German Research Foundation. Professor Chen has authored over 180 publications and 12 patents, with an h-index of 35.

• Peace and Conflict Studies
• Narratology
• Political Violence
• +۶ مورد دیگر

Kristine Andra Avram is a Visiting Researcher at the Center for Conflict Research (ZfK) at Philipps University of Marburg, serving as a Post-doctoral fellow in the BMBF project 'Transformations of Political Violence' (2024-2025). Her work bridges peace and conflict studies, narratology, and social sciences with a focus on meaning-making in contexts of political violence and state repression. Her educational background includes a PhD in Political Science (summa cum laude, 2022) from Philipps University of Marburg, an MA in Peace and Conflict Studies (2010-2013) with study abroad at the University of Haifa, and a BA in Communication Science and Romance Studies (2007-2010) from the University of Erfurt, including Erasmus at Complutense University of Madrid. Avram's research examines how narratives shape interpretations of violence, influence reckoning with traumatic pasts, and inform transitional justice efforts. Using interdisciplinary narrative and (auto)ethnographic methods, she reveals storytelling as a site of agency and resistance—both for processing historical violence and envisioning just futures. Her work centers on concepts like responsibility, truth, and hope within post-communist contexts, particularly Romania. Her recent publications (2023-2025) demonstrate methodological innovation in narrative analysis applied to political violence, with increasing attention to researcher positionality and reparative methodologies. Articles span qualitative frameworks, courtroom narratives, postcolonial critiques of peacebuilding, and ethical dimensions of studying violence. Key scientific awards include: Dissertation Award from Südost-europagesellschaft (2023) Honorable Mention from Gert-Sommer-Award for Peace Psychology (2023) Mobility Grant from EISA (2023) Scholarships from MARA, Friedrich Ebert Foundation, and University of Haifa She has secured significant research funding including a Fritz Thyssen Foundation grant (2017-2022) as co-applicant and has taught courses on narrative reconstructions of the past at Philipps University Marburg and Goethe University Frankfurt. Her advisory work includes designing memory projects and conflict resolution initiatives with pax christi Rhein-Main. Avram actively collaborates within the Center for Conflict Research's interdisciplinary teams, focusing on political violence, transitional justice, and narrative methodologies in post-communist contexts through projects like 'Ascribing Individual Criminal Responsibility' and 'Transformations of Political Violence'.

• Mining Engineering
• Raw Materials Processing
• Underground Mining
• +۷ مورد دیگر

Prof. Dr.-Ing. Elisabeth Clausen is a Professor and Director of the Chair and Institute for Advanced Mining Technologies at RWTH Aachen University. She holds key roles in the Specialist Group for Raw Materials and Disposal Technology, serves as a rectorate representative, and leads the Commission for EU Research Funding. Her research spans Underground mining automation Acoustic emission diagnostics Sustainable mining systems Space resource extraction Advanced sensor technologies Her recent publications focus on autonomous mining machinery, underground communication systems, and acoustic emission analysis across 15+ studies from 2013–2025, with particular emphasis on Ultra-wideband positioning Thermographic detection Crack monitoring in planetary gearboxes Explosive atmosphere safety Mineral processing diagnostics Digitalization trends Prof. Clausen contributes to mining education reform through initiatives like CDIO™ and has developed innovative learning spaces in underground mines. She coordinates international educational labs and integrates sustainability into mining engineering curricula, with publications on Adaptive ventilation systems Mining education frameworks Future-proof mineral extraction Entrepreneurial mindset in engineering

• Computer Networks
• Cybersecurity
• Distributed Systems
• +۴ مورد دیگر

Saurabh Bagchi is a Professor at Purdue University, West Lafayette, USA. He holds a PhD in Computer Science from the University of Illinois Urbana-Champaign (2001). His research focuses on distributed systems security, networking, and embedded systems. Key areas include IoT security, cyber-physical systems resilience, and machine learning applications in edge computing. Bagchi's work spans theoretical and applied domains, addressing challenges in distributed algorithms, fault tolerance, and secure communication protocols. His contributions to firmware analysis, serverless computing optimization, and anomaly detection in industrial IoT systems have been widely recognized. He has published over 300 papers in top-tier conferences and journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Sensor Networks, and CVPR. He collaborates with researchers in academia and industry to advance resilient networked systems, including projects funded by NSF and industrial partnerships. His lab explores cutting-edge topics like federated learning security, edge computing architectures, and game-theoretic approaches to cyber defense.

Stefanie Jannedyمشاهده پروفایل

پژوهشگر

• Sociophonetics
• Language Register
• Phonetic Variation
• +۴ مورد دیگر

Dr. Stefanie Jannedy is a senior researcher at the Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS) in Berlin, where she has been employed since 2008. She is a Principal Investigator of the DFG project C02 "Variation in Situated Interaction" within the Collaborative Research Center 1412 (CRC 1412) on "Register: Language-Users' Knowledge of Situational-Functional Variation." As a member of the Laboratory Phonology Group, her work focuses on sociophonetic aspects of language variation. Dr. Jannedy's research centers on language register, phonetic variation, and sociolinguistic patterns in speech. Her work particularly examines how situational contexts influence phonetic detail in speech production, with a focus on intra-individual variation. She has developed innovative experimental methods, including smartphone applications like "Plapper" for self-recording speech data in controlled conditions. Her research spans formal and informal speech contexts, examining speech rate, vowel dispersion, filler particles, and other phonetic features that vary systematically across different communicative situations. Analysis of her publication record shows a strong focus on register variation, particularly how speakers systematically adjust their speech across different social contexts. Her work combines experimental methods with corpus-based approaches to investigate fine phonetic detail in relation to situational factors. Recent publications demonstrate increasing interdisciplinary connections between phonetics, sociolinguistics, and cognitive science in understanding register knowledge. Dr. Jannedy has advised several students including Schüppenhauer, Gediminas, Witt, Johannes, and Hong, Nhung-Le. Her research is primarily supported through the CRC 1412 framework, which represents a major collaborative effort in register studies. Her laboratory work involves experimental setups that simulate tele-conference interactions to systematically manipulate social contexts while measuring subtle phonetic differences. This methodological innovation allows for controlled examination of register variation that would be difficult to capture in naturalistic settings.

• Web Security
• Software Security
• Secure Programming
• +۳ مورد دیگر

Prof. Dr. Martin Johns serves as Chair of Application Security at the Institute for Application Security within the Carl Friedrich Gauss Faculty at Technical University Braunschweig. He joined TU Braunschweig after working as Research Expert at SAP Security Research, where he shaped security strategy and led software security teams. Prior to SAP, he worked as software engineer in Germany at companies like TC Trustcenter and Infoseek Germany. Academic qualifications include a PhD in Computer Science (University of Passau, 2009) and a Diploma in Computer Science (University of Hamburg, 2003). His research focuses on web security and software security , particularly secure programming , vulnerability detection , and attack mitigation strategies. Recent publications cover topics like GDPR compliance frameworks , WebAssembly security , federated learning privacy , and server-side request forgery (SSRF) defenses. His work appears in top conferences including IEEE S&P, CCS, WWW, and ACM CODASPY.

• Macroeconomics
• Public Finance
• Income Inequality
• +۵ مورد دیگر

Prof. Dr. Andreas Peichl is a leading academic in Economics, holding a Professorship in Macroeconomics and Public Finance at the Faculty of Economics, Ludwig Maximilian University of Munich. He is Head of the ifo Center for Macroeconomics and Surveys, and previously led the Research Group “International Distribution and Redistribution” at ZEW, Mannheim. His expertise spans macroeconomic policy, tax systems, income inequality, and public finance. Peichl’s work bridges theoretical frameworks with empirical analysis, focusing on policy implications for redistribution, fiscal sustainability, and labor markets. Education: PhD in Public Economics, University of Cologne Professorial appointments at LMU Munich (since 2013) and University of Mannheim (2008–2013) Research Interests: Peichl’s research emphasizes the interplay between tax policies, income distribution, and macroeconomic stability. Key themes include: Optimal design of tax systems to reduce inequality while maintaining economic efficiency Impact of fiscal policies on labor markets and household behavior Analysis of redistributive effects of social welfare programs Global and regional economic inequality dynamics His recent work explores post-pandemic policy responses, energy security challenges, and the political economy of taxation. Grants & Advising: Peichl has led numerous interdisciplinary projects funded by institutions like the EU, DFG, and ifo Institute. He advises policymakers on tax reforms, fiscal consolidation, and social security systems. Notable collaborations include the ECONtribute and EconPol initiatives. Labs/Teams: Directs the ifo Center for Macroeconomics and Surveys, fostering collaboration between economists, policymakers, and data scientists. The center produces real-time analyses of economic trends and policy impacts.

Oliver Crönertzمشاهده پروفایل

استاد

• Digital Transformation
• Business Analytics
• Industry 4.0 Technology Potentials
• +۴ مورد دیگر

Prof. Dr. Oliver Crönertz serves as Dean and Professor of Business Administration and IT-Supported Business Processes at the Faculty of Digital Transformation , HTWK Leipzig. His work bridges digital transformation with business management, focusing on interdisciplinary project management, digital business models, and sustainability. Current roles: Dean, supervising professor for HTWK Robots/nao Team Research areas: Digital Transformation, Business Analytics, Industry 4.0, Stoffstrommanagement Research Trends : Recent publications emphasize digital solutions for environmental management, business process optimization, and smart urban logistics. His work connects Industry 4.0 with financial sustainability and societal impacts of digitalization. Projects : Leads Mittelstand-Digital Zentrum Leipzig-Halle, involved in EXIST-Potentiale, Future Parking, and FAssMII (Feedback-based E-Assessment in STEM).